understudy SKILL.md skillA

understudy from understudylabs/orchestra-agent-tools is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add understudylabs/orchestra-agent-tools/understudy@git:20261027.533318e

Pins git:20261027.533318e in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
understudylabs/orchestra-agent-tools
Path
skills/understudy/SKILL.md
Versions recorded
5
Latest version
git:20261027.533318e, committed Oct 27, 2026
First version recorded
Aug 30, 2026
Size
26,738 bytes
Repository stars
19
License
MIT

Use when a developer asks a coding agent to improve an LLM app or agent — "make my LLM app cheaper/faster", "raise quality or reliability", "compare models", "pick a model or route". Orchestrates trace → evaluate → optimize (GEPA, automatic prompt evolution) → compare → deploy via worker skills. Not for generic coding unless LLM behavior, cost, traces, evals, or routing is involved.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Orchestra

Orchestra is agent improvement infrastructure: it helps a coding agent improve
its developer's LLM system from real traces. This skill is the orchestrator —
it gives your agent the loop and routes each stage to exactly one worker skill.
It does not do the work inline.

The loop is backend-agnostic: it can begin locally without registration, but the
default route is the strongest active model and managed cloud execution when the
developer has not selected Local. A dropped dataset authorizes analysis through
the active model. Activating a named, bounded cloud workflow authorizes its normal
uploads, provider calls, temporary resources, evaluation, receipts, and cleanup.

## The improvement loop

1. Understand the codebase — find where LLM calls happen and the current
   model / provider / harness / routing / eval setup.
2. Understand the objective (cost, speed, quality, reliability, compliance, or a
   weighted mix).
3. Understand the constraints (what must not be violated).
4. Understand the workload — inspect prompts in situ, trace the request/response
   code path, profile the dataset/traces, and confirm the task meaning with the
   user.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add understudylabs/orchestra-agent-tools/understudy@sha256:d38e10b624c73d0d

The line at the top of this page pins the label git:20261027.533318e, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_mxlonjuylklz6vq4.svg)](https://markdownregistry.com/a/art_mxlonjuylklz6vq4)

1 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between Aug 30, 2026 and Oct 27, 2026, about one every 15 days.

versioncommittedcommitsizeaudit
git:20261027.533318e latest2026-10-27 533318e 26,738 BA view · diff
git:20261027.3c367b02026-10-27 3c367b0 26,752 BA view · diff
git:20260925.fd4ae632026-09-25 fd4ae63 26,761 BA view · diff
git:20260901.0bfb2e42026-09-01 0bfb2e4 26,415 BA view · diff
git:20260830.387ea332026-08-30 387ea33 26,289 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (26738 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

understudylabs/orchestra-agent-tools · 19 stars · license MIT · pushed 2026-11-05 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_mxlonjuylklz6vq4
GET https://markdownregistry.com/api/v1/resolve?ref=understudylabs/orchestra-agent-tools/understudy
GET https://markdownregistry.com/api/v1/blob/d38e10b624c73d0db17f7a9ebdb46b99b38bc09a14f60aaebe23f32751115667

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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Every file in understudylabs/orchestra-agent-tools

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